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Stochastic multiobjective, non-convex CHPED, incorporating wind power and V2G under environmental constraints

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Abstract

In this article, an extended stochastic multiobjective economic dispatch model is introduced with the goal of utilizing optimally, the heat and power production capabilities of two (2) Combined Heat and Power (CHP) units, assuming a non-convex Feasible Operation Region (FOR), along with the safe incorporation of wind power. Additionally, the effects of including a V2G station in the system will be explored. The model takes into consideration the stochastic behavior of both wind power and V2G stations, incorporating penalties for both underestimation and overestimation of the expected power production. The environmental constraints concern the SO2, NOx and CO2 emissions, which are modeled stochastically and used as either an objective function or inequality constraints. The simulations are performed on the modified IEEE 30 bus network with 2 CHP units and the wind parks of Crete island aiming to determine the degree environmental policies affect the system and the role EVs play in such cases.

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Authors and Affiliations

  1. Public Power Corporation S.A., Chalkokondili 22, 10432, Athens, Greece

    A. G. Anastasiadis, A. Lekidis & K. Hrissagis

  2. Department of Electrical and Electronics Engineering, University of West Attica, P. Ralli & Thivon 250, 12244, Egaleo, Greece

    A. G. Anastasiadis & G. Vokas

  3. Department of Mechanical Engineering, School of Engineering, University of the Peloponnese, 1 Megalou Alexandrou, Koukouli, 26334, Patras, Achaia, Greece

    A. Polyzakis

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  1. A. G. Anastasiadis
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  2. A. Lekidis
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  3. A. Polyzakis
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  4. G. Vokas
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  5. K. Hrissagis
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Correspondence to A. G. Anastasiadis or A. Lekidis.

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Anastasiadis, A.G., Lekidis, A., Polyzakis, A. et al. Stochastic multiobjective, non-convex CHPED, incorporating wind power and V2G under environmental constraints. Energy Syst (2023). https://doi.org/10.1007/s12667-023-00611-1

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  • DOI: https://doi.org/10.1007/s12667-023-00611-1

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